نتایج جستجو
Python Data Science Handbook: Essential Tools for Working with Data
Jake VanderPlas, 2016
R for Data Science: Import, Tidy, Transform, Visualize, and Model Data
Hadley Wickham, Garrett Grolemund, 2017
Network Security Through Data Analysis: From Data to Action
Michael Collins, 2017
Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython
Wes McKinney, 2017
Python Data Science Essentials - Third Edition: A Beginner’s Guide Covering Essential Data Science Principles, Tools, and Techniques
Luca Massaron & Alberto Boschetti [Luca Massaron], 2018
Analytics in a Big Data World: The Essential Guide to Data Science and its Applications
Bart Baesens [Bart Baesens], 2014
Programming Skills for Data Science: Start Writing Code to Wrangle, Analyze, and Visualize Data with R, First Edition
Michael Freeman & Joel Ross [Michael Freeman], 2018
Docker for Data Science: Building Scalable and Extensible Data Infrastructure Around the Jupyter Notebook Server
Joshua Cook [Joshua Cook], 2017
Think Like a Data Scientist: Tackle the data science process step-by-step
Brian Godsey [Brian Godsey], 2017
Getting Started with Data Science: Making Sense of Data with Analytics
Murtaza Haider [Murtaza Haider], 2015
Practical Data Science: A Guide to Building the Technology Stack for Turning Data Lakes into Business Assets
Andreas FranГ§ois Vermeulen [Andreas FranГ§ois Vermeulen], 2018
Data Smart: Using Data Science to Transform Information into Insight
John W. Foreman [John W. Foreman], 2013
Python for Data Analysis. Data Wrangling with Pandas, NumPy, and IPython
Wes McKinney, 2017
Agile Data Science 2.0: Building Full-Stack Data Analytics Applications with Spark
Russell Jurney, 2017
Data Analytics with Hadoop: An Introduction for Data Scientists
Bengfort, B.; Kim, J., 2016
Computing with Data An Introduction to the Data Industry
Guy Lebanon, Mohamed El-Geish, 2018
Python for Data Analysis: Data Wrangling with Pandas, Numpy, and Ipython
Wes McKinney, 2017
